After Years in M&A, the Same Friction Points Kept Coming Up

There's a moment in most M&A deals , somewhere around the second week of a new mandate , where you look at your screen and think: we are still doing this the same way we did it ten years ago.

You have a seller. You have a thesis. You have a list of names that started in PitchBook, got exported to Excel, got scrubbed by an analyst who spent two days pulling financial profiles and removing the obvious misses, and is now sitting in a shared folder waiting for someone to draft outreach. Personalized outreach, ideally. Outreach that doesn't immediately read like a form letter.

And you know, without checking, that by the time that outreach goes out (probably a week from now), three other advisors working adjacent deals will have already been in contact with your best targets.

That's the experience we kept having. Not a bad deal. Not a bad client. Just a structurally inefficient process that the industry had accepted as the cost of doing business.

The friction is structural, not situational

We've seen this described as a resource problem: firms that want to move faster just need more analysts. That's not it. The bottleneck isn't headcount; it's the architecture of origination itself.

Building a buyer universe is a research task that requires judgment: understanding the target, understanding potential acquirers, mapping strategic fit across dozens or hundreds of firms. That takes time because it's being done mostly manually, with databases that tell you who exists but not who's actually likely to move on a deal like yours.

Then comes outreach. Even when the buyer list is good, the messages that go out are often indistinguishable from everything else in that buyer's inbox. Same opener, same teaser format, same CIM attachment. The insight that went into building the list doesn't carry through to the communication.

So you have a research problem layered on top of a relevance problem, and the combined effect is that origination is slow, expensive, and produces inconsistent results even for good practitioners.

The moment that made it obvious

For us, the clearest version of this problem showed up in deal restarts.

You're four months into a sell-side mandate. The anchor buyer you built the thesis around has pulled out due to strategic misalignment, timing, or other factors. The buyer universe you spent weeks constructing is now wrong. The thesis needs to adjust, which means the target list needs to rebuild, which means another 60 hours of research before you can get back in front of qualified buyers.

Here's the part that doesn't get talked about: because restarting is so costly, you don't do it when you probably should. You defend the original thesis a little longer than the facts warrant. You don't test the unlikely angle. You don't run two parallel theses when the first one starts to show cracks. The manual rebuild cost makes you conservative in ways that aren't in your client's interest.

That's a systemic distortion, not a failure of judgment, but a rational response to expensive tooling.

What we actually wanted

We wanted something that could read a mandate (the actual document, thesis, and seller's strategic context) and build a buyer universe from it. Not a filtered database export. A researched, reasoned buyer list with context on why each firm made the cut.

We wanted outreach that reflected the mandate. Not personalisation fields dropped into a template, but messages that spoke to a specific buyer's acquisition history, their stated strategy, where this target fit in their portfolio logic.

We wanted to be able to pivot. If month four looked different from month one, we wanted to rebuild the thesis in hours, not weeks.

None of that existed in a single tool. The pieces existed separately (databases for contacts, AI writing tools for drafts, and research services for coverage), but the workflow wasn't integrated and none of it was built specifically for M&A origination.

Building the thing that should exist

After spending years as M&A practitioners, the same friction points kept coming up. This is why we built it.

Financesaur is built around a single workflow: upload a mandate, get a researched buyer universe, deploy personalized outreach. The platform is designed specifically for M&A , the logic of strategic fit, financial capacity, acquisition history, thesis alignment , rather than adapted from a sales or marketing tool.

The goal isn't to replace the judgment that practitioners bring to deals. It's to remove the manual overhead that sits between that judgment and its execution.

When a research run takes hours instead of weeks, you can afford to be more exploratory. You can test a thesis before committing to it. You can pivot when the facts change. You can focus on the parts of a deal that actually require a human in the room.

We didn't build this for the technology. We built it because the alternative, continuing to do origination the way it's always been done , was costing us and our clients time we didn't have to waste.

If you're in M&A and that experience sounds familiar, we'd like you to try it on your next mandate.